Blockchain Medical Task Validation via SMS and Tokenization
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Solution Overview
Problem
The current system for accrediting medical cases in residency programs is inefficient due to inaccuracies in data entry, leading to potential fraud and loss of credibility for institutions, as existing technologies lack an immutable recordkeeping system to verify completed tasks accurately.
Innovation Solution
A computer-implemented method using a blockchain network to validate completed medical procedures by generating unique tokens for verified tasks, ensuring data immutability and accuracy through real-time timestamping and geolocation verification, and SMS-based approval mechanisms between parties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual case documentation and validation systems are used, then ease of operation is maintained, but data accuracy and reliability deteriorate due to human error and fraud
Solution Approach 1:
The validation system is segmented into distinct functional modules: case submission module, validation module with multiple validators, and credentialing module. Each module handles specific tasks independently, improving reliability through specialized processing while managing complexity through modular design.
Solution Approach 2:
The patent introduces intermediary components including a clearing house that acts as a neutral third party to validate cases, and multiple validators who independently assess case authenticity. These intermediaries reduce fraud without requiring direct institutional validation, balancing reliability improvement with manageable complexity.
2Measurement precision
If comprehensive case validation procedures are implemented, then data accuracy improves, but time consumption and processing duration increase
Solution Approach 1:
The system performs preliminary validation checks automatically upon case submission, including format verification and initial authenticity assessment. This preliminary action filters out obviously invalid cases early, reducing overall processing time while maintaining verification accuracy through subsequent detailed validation steps.
Solution Approach 2:
The validation process uses periodic action by implementing multiple validation rounds with different validators. Cases are validated in stages rather than all at once, allowing efficient processing through batch validation while maintaining high accuracy through repeated verification cycles.
3Reliability
If multiple validators review each case, then reliability and fraud prevention improve, but device complexity and operational burden increase
Solution Approach 1:
The multi-validator system is segmented into specialized validator roles (e.g., clinical validators, administrative validators) who focus on specific aspects of case verification. This segmentation improves reliability through comprehensive review while simplifying operation by assigning clear, specialized responsibilities to each validator.
Solution Approach 2:
The validation system implements universal validators who can assess multiple case types across different specialties using standardized validation criteria. This multi-functionality approach maintains high reliability through diverse expert review while simplifying operations by using consistent validation processes applicable to all cases.
Data Source
AI summary
A computer implemented method for determining the veracity of a completed task for validating the completed task towards the progression of a goal is disclosed. The completed task is a medical procedure performed by a first party. The goal is to compile a predetermined number of completed tasks required by a third party. The method includes receiving and storing registration data from a first party, second party, and third party. The method receives medical case information from the first party. The method causes an SMS message to be sent to the second party for soliciting approval of the case data. If an approval is received, then the method generates a validated medical case record. The method stores the validated medical case record to the blockchain and mints a token associated with the validated medical case. The method tracks the progression towards the goal based on validated medical cases.